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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Harold N. Knickle, Paul B. Daitch
Nuclear Science and Engineering | Volume 54 | Number 2 | June 1974 | Pages 196-200
Technical Note | doi.org/10.13182/NSE74-A23408
Articles are hosted by Taylor and Francis Online.
To investigate neutron flux time dependence in fast pulsed assemblies that have little or no regeneration, two semianalytic models have been developed and tested successfully against accurate but not transparent calculations. The models have been developed through the use of analytic time dependence and numerical space and energy dependence by the use of time moments. Comparison of the models has been made to exact two- and three-group diffusion theory. An interpretation of the parameters of the semianalytic model has been given in terms of standard nuclear parameters.